Artificial Intelligence (AI) is no longer just a buzzword but an important part of an organisation’s value chain. Tech giants are pouring in resources and capital to build and achieve state-of-the-art solutions in the AI space for core business functions.…
How Loss Change Allocation For Machine Learning Training Can Aid Transparency
Whether it is the market crash or a wrong diagnosis, the after-effects will be certainly irreversible. Hence, tracking the development of machine learning algorithm throughout its life cycle becomes crucial. Neural network activations have an underlying compositional, combinatorial structure. Visualising…
How These Lab-Grown Mini Brains Are Transforming Neural Research
Recently, neuroscientist Alysson R Muotri and his team from the University of California, San Diego, developed clusters of nerve cells. Called mini-brains, these were pinned into an insect-sized robot in order to study their neural activity. Interestingly, the researchers found…
A Beginner’s Guide To Scikit-Learn’s MLPClassifier
There is no objection in saying that Classification is one of the most popular Machine learning problems across the entirety of Data Science and Machine Learning. We humans have been so fixated on making machines learn to classify and categorize…
Why Is It Important To Make Your Neural Networks Compact
AI has already taken up a lot of space in the industries. Even if the general population thinks the technology is not very prominent, it is taking up a lot of applications in the commercial world. We do not even…
10 Algorithms Every Machine Learning Enthusiast Should Know
It is very crucial for the machine learning enthusiasts to know and understands the basic and important machine learning algorithms in order to keep themselves up with the current trend. In this article, we list down 10 basic algorithms which…
What Is Neural Network Pruning And Why Is It Important Today?
Industry-leading neural networks have almost unlimited compute and space at their disposal, as they are configured to run in the most powerful manner. However, developers that are creating deep learning applications for use on mobile devices don’t have this luxury.…
4 Reasons Why You Should Use Deep Learning For Time Series Forecasting
Time Series forecasting is an important area of Machine Learning. It is important because there are so many prediction problems that involve a time component. However, while the time component adds additional information, it also makes time series problems…
How Google’s NN Model Can Capture Audio Source By Simply Looking At Human Face
Last year, researchers at Google applied the “cocktail party effect” observed by human beings to machines. For instance, in a party, there are so many voices, but we only listen to the person we like by focusing our mind on…
The Sound Of AI Music
When we talk about artificial intelligence, people always tend to think of the only spaces where this tech can replace humans. However, there is another vertical, which is one of those least expected, that AI has influenced in recent times…